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BDgene: A Genetic Database for Bipolar Disorder and Its Overlap With Schizophrenia and Major Depressive Disorder

  • Su-Hua Chang
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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  • Lei Gao
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    University of Chinese Academy of Sciences, Beijing, China
    Search for articles by this author
  • Zhao Li
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    University of Chinese Academy of Sciences, Beijing, China
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  • Wei-Na Zhang
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    University of Chinese Academy of Sciences, Beijing, China
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  • Yang Du
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    University of Chinese Academy of Sciences, Beijing, China
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  • Jing Wang
    Correspondence
    Address correspondence to Jing Wang, Ph.D., Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing 100101, China
    Affiliations
    Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
    Search for articles by this author

      Background

      Bipolar disorder (BD) is a common psychiatric disorder with complex genetic architecture. It shares overlapping genetic influences with schizophrenia (SZ) and major depressive disorder (MDD). Large numbers of genetic studies of BD and cross-disorder studies between BD and SZ/MDD have accumulated numerous genetic data. There is a growing need to integrate the data to provide a comprehensive data set to facilitate the genetic study of BD and its highly relevant diseases.

      Methods

      BDgene database was developed to integrate BD-related genetic factors and shared ones with SZ/MDD from profound literature reading. On the basis of data from the literature, in-depth analyses were performed for further understanding of the data, including gene prioritization, pathway-based analysis, intersection analysis of multidisease candidate genes, and pathway enrichment analysis.

      Results

      BDgene includes multiple types of literature-reported genetic factors of BD with both positive and negative results, including 797 genes, 3119 single nucleotide polymorphisms, and 789 regions. Shared genetic factors such as single nucleotide polymorphisms, genes, and regions from published cross-disorder studies among BD and SZ/MDD were also presented. In-depth data analyses identified 43 BD core genes; 70 BD candidate pathways; and 127, 79, and 107 new potential cross-disorder genes for BD-SZ, BD-MDD, and BD-SZ-MDD, respectively.

      Conclusions

      As a central genetic database for BD and the first cross-disorder database for BD and SZ/MDD, BDgene provides not only a comprehensive review of current genetic research but also high-confidence candidate genes and pathways for understanding of BD mechanism and shared etiology among its relevant diseases. BDgene is freely available at http://bdgene.psych.ac.cn.

      Key Words

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